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Group consensus of multi-agent systems subjected to cyber-attacks

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【作者】 高海云; 胡爱花; 沈莞蔷; 江正仙;

【Author】 Hai-Yun Gao;Ai-Hua Hu;Wan-Qiang Shen;Zheng-Xian Jiang;School of Science, Jiangnan University;

【通讯作者】 胡爱花;

【机构】 School of Science, Jiangnan University;

【摘要】 In this paper, we investigate the group consensus for leaderless multi-agent systems. The group consensus protocol based on the position information from neighboring agents is designed. The network may be subjected to frequent cyberattacks, which is close to an actual case. The cyber-attacks are assumed to be recoverable. By utilizing algebraic graph theory, linear matrix inequality(LMI) and Lyapunov stability theory, the multi-agent systems can achieve group consensus under the proposed control protocol. The sufficient conditions of the group consensus for the multi-agent networks subjected to cyber-attacks are given. Furthermore, the results are extended to the consensus issue of multiple subgroups with cyber-attacks. Numerical simulations are performed to demonstrate the effectiveness of the theoretical results.

【Abstract】 In this paper, we investigate the group consensus for leaderless multi-agent systems. The group consensus protocol based on the position information from neighboring agents is designed. The network may be subjected to frequent cyberattacks, which is close to an actual case. The cyber-attacks are assumed to be recoverable. By utilizing algebraic graph theory, linear matrix inequality(LMI) and Lyapunov stability theory, the multi-agent systems can achieve group consensus under the proposed control protocol. The sufficient conditions of the group consensus for the multi-agent networks subjected to cyber-attacks are given. Furthermore, the results are extended to the consensus issue of multiple subgroups with cyber-attacks. Numerical simulations are performed to demonstrate the effectiveness of the theoretical results.

【基金】 Project supported by the National Natural Science Foundation of China(Grant Nos.61807016 and 61772013);the Natural Science Foundation of Jiangsu Province,China(Grant No.BK20181342)
  • 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2019年06期
  • 【分类号】TP13;O157.5
  • 【被引频次】3
  • 【下载频次】41
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